🤝 “This experience was really a game-changer for me.” This past summer, Department of Mechanical Engineering at Stevens student Lawrence Park ’27 designed an AI-powered drone inspector, while fellow student Isabelle J. ’27 at the School of Humanities, Arts and Social Sciences at Stevens Institute of Technology built an AI-enabled 3D printer interface – with both projects guided by School of Business at Stevens Institute of Technology Professor Aron Lindberg. The projects fused together all three Stevens schools to explore “phygital” innovation, where AI meets physical systems. Lawrence and Isabelle gained hands-on experience building real systems from scratch, combining electronics, software, and design, while also learning business principles and other non-technical skills that crossed disciplines. As Professor Lindberg notes, the future belongs to those who can learned to navigate the possibilities and limits of AI by bringing different fields of knowledge together to create solutions that machines alone cannot. 🔗 Read the full story in the comments and 🎥 watch the video below... The School of Humanities, Arts and Social Sciences at Stevens Institute of Technology #MechanicalEngineering #StevensInstitute #AI #PhygitalInnovation #InterdisciplinaryResearch

C21U is excited to announce the 2025 Bill Kent AI in Higher Education Fellows. The inaugural 2025–26 cohort includes Flavio Fenton (College of Sciences), Joy Arulraj (College of Computing), Patrick Danahy (College of Design), and Ying Zhang (College of Engineering). The fellows will lead projects that advance AI’s role in teaching and learning. Arulraj’s "Token Smith: Fast, Local, Citable LLM Tutoring" introduces a privacy-conscious, citation-based AI tutoring system for database courses that provides verifiable, course-aligned answers. Fenton’s “AI as a Learning Assistant” develops AI-enabled instructional modules for physics, neuroscience, and scientific writing to improve conceptual understanding and promote ethical AI use. Danahy’s “AI-Enabled Design Ideation and Robotic 3D Printing with Open-Source Platforms” combines AI-driven design and robotic fabrication into architecture education while addressing ethics and sustainability. Zhang’s “AI-Enabled Personalized Engineering Education” expands personalized learning in large engineering courses by using AI tutoring frameworks and integrating AI literacy into the curriculum. We received 21 applications from all seven Georgia Institute of Technology colleges, highlighting the Institute's commitment to innovation in education. Look for upcoming updates on their projects and opportunities to engage with the fellows at future C21U Learning Labs. #AI #HigherEducation #AIEducation #Innovation #Fellows / Georgia Tech College of Engineering, College of Computing at Georgia Tech, Georgia Tech College of Sciences, Georgia Tech College of Design, Dr. Bill Kent, Lesley Baradel

Exploring the Exciting World of AI Coding | By Xcf Seetan | October 2025 https://lnkd.in/ghgzBn48 Exploring the Wild Ride of AI-Assisted Programming Diving into the world of AI in coding is akin to stepping into a sci-fi novel where boundaries are stretched, and imagination thrives. My journey began with a Z80 microprocessor in the '80s and has transformed into a thrilling exploration of AI’s potential in software development. Key Takeaways: AI Impact: AI-assisted programming is revolutionizing coding, offering tools that enhance productivity while requiring vigilance to avoid its pitfalls. Personal Experiences: From the birth of the internet to the magic of 3D printing, each technological leap fueled my passion. Innovative Projects: I transitioned from coding unique MIDI applications to developing a comprehensive music editing system, all while negotiating the complexities of AI integration. Why This Matters: In a world flooded with AI hype, it's crucial to stay grounded and utilize AI's benefits wisely. Join the conversation! Have you experienced the dual nature of AI in your projects? Share your thoughts below! Source link https://lnkd.in/ghgzBn48

📣 Next week at ICCV in Hawaii, we’ll be presenting our paper 𝗔𝗹𝗶𝗴𝗻𝗶𝗻𝗴 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗗𝗲𝘀𝗶𝗴𝗻 𝗜𝗻𝘁𝗲𝗻𝘁 𝗶𝗻 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗿𝗶𝗰 𝗖𝗔𝗗. Large language models have shown why alignment matters: tuning models to reflect human goals and preferences, not just data patterns. This work brings that same idea to design. We call it 𝘥𝘦𝘴𝘪𝘨𝘯 𝘢𝘭𝘪𝘨𝘯𝘮𝘦𝘯𝘵, teaching AI to better capture design intent. In the paper, we demonstrate this through engineering sketches, where the model learns to generate constraints that align with expert design choices, guided by verifiable rewards that measure how well its outputs match real design behavior. This helps the system learn from feedback that can be checked and quantified, rather than relying only on example data. Beyond sketches, design alignment could inform how AI proposes parametric edits, generates 3D geometry, plans assemblies, or checks manufacturability, grounding every suggestion in human intent. It’s a step from “looks right” to “behaves as intended,” essential for editable, production-ready CAD. This continues Autodesk AI Lab’s trajectory from datasets and encoders to generative models, and now intent-aligned AI for real design workflows. Thanks to Evan Casey, Tianyu Zhang, Shu Ishida, Will McCarthy, John Thompson, Amir Khasahmadi, Joe Lambourne, and Pradeep K J. for their collaboration. If you’re at ICCV, come by during Poster Session 2 (Exhibit Hall I, Tuesday October 21, 15:00–17:00) to chat with me and Evan about design alignment and neural CAD. 𝗣𝗮𝗽𝗲𝗿: https://lnkd.in/g9Xy-Jym 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: https://lnkd.in/gaN8CSm2 𝗕𝗹𝗼𝗴: https://lnkd.in/gAF9kAFH #ICCV #GenerativeAI #CAD #Autodesk #AutodeskResearch #DesignAlignment #NeuralCAD #DesignIntent #MachineLearning #AIML

It doesn’t involve dodgeball, square dancing or capture the flag, but Stevens School of Business associate professor Aron Lindberg is working with undergraduates across the University to advance “phygital” education. This past summer, Lindberg, the SSB Information Systems and Analytics Area Chair, collaborated with Pinnacle Scholars Lawrence Park and Isabelle J. on projects that explored the possibilities created by phygital innovation, which combines physical artifacts and digital technology. Learn more about their work: https://lnkd.in/eZZzQKCt #PhygitalInnovation #StevensBusiness #StevensInstititueOfTechnology #StevensPride GJ de Vreede The Schaefer School of Engineering and Science at Stevens The School of Humanities, Arts and Social Sciences at Stevens Institute of Technology

Harvard John A. Paulson School of Engineering and Applied Sciences researchers built a robot that thinks with rubber bands, using mechanical design — not electronics — to move, sense, and adapt.

𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻 𝗥𝗮𝗰𝗲𝘁𝗿𝗮𝗰𝗸: 𝗛𝗼𝘄 𝗦𝘆𝗻𝗼𝗽𝘀𝘆𝘀 𝗮𝗻𝗱 𝗡𝗩𝗜𝗗𝗜𝗔 𝗮𝗿𝗲 𝗥𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗦𝗧𝗘𝗠 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻. Synopsys and NVIDIA have introduced a 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘁𝘄𝗶𝗻 𝗿𝗮𝗰𝗲𝘁𝗿𝗮𝗰𝗸 for the global 𝗦𝗧𝗘𝗠 𝗥𝗮𝗰𝗶𝗻𝗴 (𝗙𝟭 𝗶𝗻 𝗦𝗰𝗵𝗼𝗼𝗹𝘀) championship. Engineering education is shifting gears. What was once limited to pro motorsport teams and research labs is now entering 𝗰𝗹𝗮𝘀𝘀𝗿𝗼𝗼𝗺𝘀 𝗮𝗻𝗱 𝘀𝗰𝗵𝗼𝗼𝗹 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻𝘀. The premiere in Singapore showcased how students can test and visualize aerodynamics in real time. 𝗪𝗵𝗮𝘁 𝘄𝗮𝘀 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝗱 Teams work with 𝗖𝗙𝗗 𝗶𝗻 𝗔𝗻𝘀𝘆𝘀 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆, analyzing lift, drag, and vortices. Results are exported into 𝗡𝗩𝗜𝗗𝗜𝗔 𝗢𝗺𝗻𝗶𝘃𝗲𝗿𝘀𝗲, where they overlay onto a digital track. This pipeline creates an 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝟯𝗗 𝘀𝗰𝗲𝗻𝗲 of car behavior. From 2025–2026, “demo days” will let schools upload their own car geometries, tweak designs, and instantly validate performance inside the digital twin racetrack. 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀  • 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗼𝘃𝗲𝗿 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: students see real airflow patterns instead of formulas alone  • 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲: simulation → visualization → insights, just like industry workflows  • 𝗖𝗮𝗿𝗲𝗲𝗿 𝗽𝗮𝘁𝗵𝘄𝗮𝘆: free access to Discovery and Omniverse builds baseline literacy in digital twins  • 𝗙𝗮𝘀𝘁 𝗶𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻: geometry-to-results takes hours, not weeks — matching current trends in ML-accelerated CFD Experts note: this is the same tech stack used in 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗺𝗼𝘁𝗼𝗿𝘀𝗽𝗼𝗿𝘁, making the student experience closer to real industry practice. 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆 The Synopsys × NVIDIA project shows how 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘁𝘄𝗶𝗻𝘀 can become entry points into professional ecosystems. For schools, it means hands-on learning with advanced tools. For industry, it cultivates a generation of engineers fluent in modern pipelines. Beyond racing, the “analyze → simulate → explain” model can scale to architecture, climate modeling, or industrial pilots. Digital twins are no longer exotic — they’re becoming the new normal, even in classrooms. Do you think digital twins in education will stay niche, or become a core skillset for tomorrow’s engineers? #DigitalTwin #STEMEducation #CFD #NVIDIAOmniverse #Synopsys #FutureSkills #EngineeringEducation

Segment 3: Diagrams and Illustrations Amelia: Dr. Aryasomayajula, can we visualize the difference between algebraic scissors and Pythagorean blades? RSA: Absolutely, Amelia. Here’s how we illustrate it: 1. Two-Blade Propeller Vector Diagram (Algebraic Scissors) • Two vectors opposite each other • Simple addition of thrust • Interaction term 2ab represents airflow engagement [Diagram: Two intersecting blades with airflow lines cutting symmetrically] 2. Three-Blade Propeller (Pythagorean Geometry) • Vectors form 120° angles • Pythagorean theorem ensures resultant thrust vector aligns with axis • Harmonic distribution of torque minimizes vibration [Diagram: Equilateral triangle formed by blade tips with airflow vectors converging at hypotenuse] 3. Multi-Blade Propeller (>3 blades) • Trigonometric relationships between each blade’s rotational axis • Minimizes cavitation, maximizes lift • Vector addition creates smooth airflow envelope [Diagram: Concentric rotation vectors, color-coded for velocity magnitude] These diagrams are both mathematical and architectural blueprints, showing the structural elegance of propeller design. ⸻ Segment 4: Interactive Airflow Vector Models Dr. Helen Carter: We’ve integrated interactive models in training simulators: • Each blade’s motion is vectorized • Airflow currents are mapped in real time • Trainees can adjust pitch, RPM, and angle, seeing immediate effects on thrust and turbulence Dr. James Hannah: The educational advantage is huge. Students see: • Algebraic “scissors” cutting air as discrete events • Pythagorean geometric blades distributing forces harmoniously • Invisible “C currents” forming around multi-blade turbines It’s applied physics as a living simulation, combining mathematics, biophysics, and design architecture.

https://lnkd.in/dwicjdgV https://lnkd.in/dNfBf5U9 🎨 What Is Tangram Geometry? A tangram is an ancient Chinese puzzle made of seven flat shapes (called "tans") — typically 5 triangles, 1 square, and 1 parallelogram — that can be arranged to form countless figures, from animals to letters to robots. While it may seem like play, tangram puzzles teach children geometry through doing — manipulating shapes, analyzing patterns, and mentally rotating components. This is hands-on math at its finest. 🔍 Tangrams & Real-World Thinking: The Connection The mental processes used in tangram play are the same skills engineers, architects, coders, and problem-solvers use every day: 1. Spatial Reasoning = Engineering Thinking Children learn to: Visualize how parts make a whole Rotate and flip shapes mentally Predict outcomes of movement and alignment These are the foundations of mechanical design, robotics assembly, and 3D printing logic. 2. Pattern Recognition = Data Science Mindset Solving tangram puzzles improves a child’s ability to : See patterns within chaos Find symmetry and balance Break down complex visuals into simple units This mirrors how professionals make sense of large datasets and systems.

The Department of Geospatial Science and Technology, Delhi Technological University (Formerly DCE), organized a two-hour hands-on workshop in collaboration with DesignTech Systems Pvt. Ltd., a leading provider of CAD 🧩, CAE 🧮, PLM ⚙️, and 3D Printing 🖨️ technologies, and an official MathWorks reseller for MATLAB & Simulink 💻. Participants — students and Ph.D. scholars from Geoinformatics and Geospatial Science 🌏 — explored: 🔹 Fundamentals of MATLAB and its Live Script interface 🧠 🔹 Data visualization and image processing applications 📊🛰️ 🔹 Machine Learning and classification using both code and no-code tools 🤖 🔹 Self-paced learning through MATLAB Onramp courses 🎓 The department extends heartfelt thanks to ARMAN ANSARI, Application Engineer, DesignTech Systems Pvt. Ltd., for delivering an insightful and engaging session 👏. The workshop empowered participants to leverage MATLAB for geospatial data analysis, visualization, and automation, bridging computational learning with real-world applications. 🔖 #MATLAB #Simulink #DesignTech #MathWorks #DGST #DTU #GeospatialScience #Geoinformatics #RemoteSensing #ImageProcessing #MachineLearning #DataVisualization #AI #Automation #Innovation #STEM #HigherEducation #Workshop #SpatialAnalytics #Research #DTUEvents #LearningByDoing #TechnologyIntegration